Course Overview
Course Key Features 
-
30 contact hours.
Life Time E-learning
Training on Yarn, MapReduce, Pig, Hive, HBase
Case Studies & Simulation Tests
Skills Covered
- Realtime data processing
- Functional programming
- Spark applications
- Parallel processing
Benefits
Designation
Annual Salary
Hiring Companies
Source : Indeed
Source: IndeedTraining Options
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- Industry case studies on real business problems
- Hands-on projects to perfect the skills learnt
- Simulation test papers for self-assessment
- 24x7 learner assistance and support
- Everything in Self-Paced Learning, plus
- 90 days of flexible access to online classes
- Live, online classroom training by top instructors and practitioners.
- Customized learning delivery model (self-paced and/or instructor-led)
- Flexible pricing options
- Enterprise grade Learning Management System (LMS)
- Enterprise dashboards for individuals and teams
- 24x7 learner assistance and support
Course Curriculum
| Lesson | Lesson Name |
|---|---|
| 1 | Course Introduction |
| 2 | Introduction To Big Data & Hadoop |
| 3 | Hadoop Architecture & YARN |
| 4 | Data Ingestion & ETL |
| 5 | Distributed Processing - MapReduce Framework & Pig |
| 6 | Apache Hive |
| 7 | NoSQL Database - HBase |
| 8 | Functional Programming |
| 9 | Spark Core Processing |
| 10 | Spark SQL |
| 11 | Spark MLLib |
| 12 | Spark GraphX |
Course Training FAQs
Big data refers to a collection of extensive data sets, including structured, unstructured, and semi-structured data coming from various data sources and having different formats. These data sets are so complex and broad that they can't be processed using traditional techniques. When you combine big data with analytics, you can use it to solve business problems and make better decisions. .
Hadoop is an open-source framework that allows organizations to store and process big data in a parallel and distributed environment. It is used to store and combine data, and it scales up from one server to thousands of machines, each offering low-cost storage and local computation.
There are basically three concepts associated with Big Data - Volume, Variety, and Velocity. The volume refers to the amount of data we generate which is over 2.5 quintillion bytes per day, much larger than what we generated a decade ago. Velocity refers to the speed with which we receive data, be it real-time or in batches. Variety refers to the different formats of data like images, text, or videos.
Spark is an open-source framework that provides several interconnected platforms, systems, and standards for big data projects. Spark is considered by many to be a more advanced product than Hadoop.
This training is conducted via live streaming. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference. Classes are attended by a global audience to enrich your learning experience.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
Yes. customers can contact us either by phone or chat if they need help with completing the application form.
Upon successful completion of the Certification training, you will be awarded industry recognized course completion certificate from Learn N Lead.